Zhang Fucheng, Li Denghua, Li Ganqiong, Xu Shiwei
Research Center for Agricultural Monitoring and Early Warning, Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing, China.
Key Laboratory of Agricultural Monitoring and Early Warning Technology, Ministry of Agriculture and Rural Affairs, Beijing, China.
Front Plant Sci. 2025 Jan 7;15:1490801. doi: 10.3389/fpls.2024.1490801. eCollection 2024.
As the source of data acquisition, sensors provide basic data support for crop planting decision management and play a foundational role in developing smart planting. Accurate, stable, and deployable on-site sensors make intelligent monitoring of various planting scenarios possible. Recent breakthroughs in plant advanced sensors and the rapid development of intelligent manufacturing and artificial intelligence (AI) have driven sensors towards miniaturization, intelligence, and multi-modality. This review outlines the key technologies in developing new advanced sensors, such as micro-nano technology, flexible electronics technology, and micro-electromechanical system technology. The latest technological frontiers and development trends in sensor principles, fabrication processes, and performance parameters in soil and different segmented crop scenarios are systematically expounded. Finally, future opportunities, challenges, and prospects are discussed. We anticipate that introducing advanced technologies like nanotechnology and AI will rapidly and radically revolutionize the accuracy and intelligence of agricultural sensors, leading to new levels of innovation.
作为数据采集的源头，传感器为作物种植决策管理提供基础数据支持，并在发展智能种植中发挥着基础性作用。准确、稳定且可部署在现场的传感器使对各种种植场景的智能监测成为可能。植物先进传感器的最新突破以及智能制造和人工智能（AI）的快速发展推动传感器朝着小型化、智能化和多模态化发展。本文综述概述了开发新型先进传感器的关键技术，如微纳技术、柔性电子技术和微机电系统技术。系统阐述了土壤及不同分段作物场景下传感器原理、制造工艺和性能参数方面的最新技术前沿和发展趋势。最后，讨论了未来的机遇、挑战和前景。我们预计，引入纳米技术和人工智能等先进技术将迅速且彻底地革新农业传感器的准确性和智能化水平，带来新的创新高度。
